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Data Engineer Sports Analytics Jobs in Tulsa, OK

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

InTulsa Initiative LLC

Data Engineer

Tulsa, OK

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The team's work spans Data & Systems, CRM Platform Solutions, and Analytics-building the data ... This role requires strong hands-on experience in Python-based data engineering, cloud data ...

Tulsa Community Foundation

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The team's work spans Data & Systems, CRM Platform Solutions, and Analytics-building the data ... This role requires strong hands-on experience in Python-based data engineering, cloud data ...

Tulsa For You - Integrated Strategies

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The team's work spans Data & Systems, CRM Platform Solutions, and Analytics--building the data ... This role requires strong hands-on experience in Python-based data engineering, cloud data ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who ...

Addison Group

Data Engineer II

Tulsa, OK · On-site

$120/hr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer II/III Location: Tulsa, Oklahoma Salary: $120-135k Position is not eligible for ... Connect to and analyze data from a variety of source systems to assess data quality, structure, and ...

Addison Group

Data Engineer II

Tulsa, OK · On-site

$120/hr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer II/III Location: Tulsa, Oklahoma Salary: $120-135k Position is not eligible for ... Connect to and analyze data from a variety of source systems to assess data quality, structure, and ...

Kanak Elite Services Inc

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Proficiency in leveraging AI enabled tools, such as Microsoft Copilot, to improve productivity and analysis. A plus will be experience in AWS related to data engineering. Experience required: * 8+ ...

The Intersect Group

Data Engineer II

Tulsa, OK · On-site

$99K - $119K/yr

Data Engineer Company Overview Our client is a respected leader in the retail and consumer services ... Analyze and profile data from diverse sources to determine integration requirements and data ...

Pwc

Data Engineer - Manager

Tulsa, OK

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$104K - $125K/yr

  • PTO

... data analysis to determine if data is suitable for needs. • Development of automated data ... developers to improve development skills and system knowledge. • Actively utilize training ...

CCT

AWS Cloud Data Engineer

Tulsa, OK

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data ... Execute static code analysis. * Allow or prevent commits or PR merges based on predefined quality ...

CCT

AWS Cloud Data Engineer

Tulsa, OK · On-site +1

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data ... Execute static code analysis. * Allow or prevent commits or PR merges based on predefined quality ...

QuikTrip

Data Engineer II

Tulsa, OK

$98K - $118K/yr

  • PTO

Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to ... SSAS, Power BI), and Programming Languages (e.g. C#). * Adhere to QuikTrip's standards and best ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

  • PTO

Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to ... SSAS, Power BI), and Programming Languages (e.g. C#). * Adhere to QuikTrip's standards and best ...

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Showing results 1-20

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Tulsa, OK

Data Engineer Sports Analytics information

See Tulsa, OK salary details

$40.6K

$118.5K

$162.1K

How much do data engineer sports analytics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer sports analytics in Tulsa, OK is $118,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $125,600.00 per year, depending on experience, location, and employer.

How does a data engineer in sports analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What does a data engineer in sports analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a data engineer in sports analytics?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

What job categories do people searching Data Engineer Sports Analytics jobs in Tulsa, OK look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Tulsa, OK are:

Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,479 per year, or $57 per hour.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • On-site, Remote

$96K - $131K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement - you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organization's BI and reporting tool.
Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight Analytics
SmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.

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